Efficient slot labelling

Vladimir Vlasov

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arXiv · 2401.09343

Efficient slot labelling

Vladimir Vlasov

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Abstract

Slot labelling is an essential component of any dialogue system, aiming to find important arguments in every user turn. Common approaches involve large pre-trained language models (PLMs) like BERT or RoBERTa, but they face challenges such as high computational requirements and dependence on pre-training data. In this work, we propose a lightweight method which performs on par or better than the state-of-the-art PLM-based methods, while having almost 10x less trainable parameters. This makes it especially applicable for real-life industry scenarios.

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BibTeX RIS

Vladimir Vlasov. 2024-01-17. Efficient slot labelling. https://arxiv.org/abs/2401.09343

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